<div class="csl-bib-body">
<div class="csl-entry">Arleo, A., Tsigkanos, C., Almeida Leite, R., Dustdar, S., Miksch, S., & Sorger, J. (2023). <i>Visual exploration of financial data with incremental domain knowledge</i> [Conference Presentation]. EuroVis 2023: 25th EG Conference on Visualization, Leipzig, Germany. https://doi.org/10.1111/cgf.14723</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/190056
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dc.description.abstract
Modelling the dynamics of a growing financial environment is a complex task that requires domain knowledge, expertise and access to heterogeneous information types. Such information can stem from several sources at different scales, complicating the task of forming a holistic impression of the financial landscape, especially in terms of the economical relationships between firms. Bringing this scattered information into a common context is, therefore, an essential step in the process of obtaining meaningful insights about the state of an economy. In this paper, we present Sabrina 2.0, a Visual Analytics (VA) approach for exploring financial data across different scales, from individual firms up to nation-wide aggregate data. Our solution is coupled with a pipeline for the generation of firm-to-firm financial transaction networks, fusing information about individual firms with sector-to-sector transaction data and domain knowledge on macroscopic aspects of the economy. Each network can be created to have multiple instances to compare different scenarios. We collaborated with experts from finance and economy during the development of our VA solution, and evaluated our approach with seven domain experts across industry and academia through a qualitative insight-based evaluation. The analysis shows how Sabrina 2.0 enables the generation of insights, and how the incorporation of transaction models assists users in their exploration of a national economy.
en
dc.language.iso
en
-
dc.subject
Visualization
en
dc.subject
Information Visualization
en
dc.subject
Visual Analytics
en
dc.subject
Visualization in Finance
en
dc.title
Visual exploration of financial data with incremental domain knowledge
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.contributor.affiliation
University of Athens
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dc.contributor.affiliation
Complexity Science Hub Vienna, Austria
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dc.type.category
Conference Presentation
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tuw.publication.invited
invited
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tuw.researchTopic.id
I5
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
80
-
tuw.researchTopic.value
20
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tuw.linking
https://github.com/EngAAlex/Sabrina-2.0
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tuw.publication.orgunit
E193-07 - Forschungsbereich Visual Analytics
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tuw.publisher.doi
10.1111/cgf.14723
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tuw.author.orcid
0000-0003-2008-3651
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tuw.author.orcid
0000-0002-9493-3404
-
tuw.author.orcid
0000-0001-6872-8821
-
tuw.author.orcid
0000-0003-4427-5703
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tuw.event.name
EuroVis 2023: 25th EG Conference on Visualization
en
tuw.event.startdate
12-06-2023
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tuw.event.enddate
16-06-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Leipzig
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tuw.event.country
DE
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tuw.event.presenter
Arleo, Alessio
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.cerifentitytype
Publications
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item.fulltext
no Fulltext
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item.grantfulltext
none
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item.openairetype
conference paper not in proceedings
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.dept
University of Athens
-
crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
-
crisitem.author.dept
E194-02 - Forschungsbereich Distributed Systems
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.dept
E186 - Institut für Computergraphik und Algorithmen
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crisitem.author.orcid
0000-0003-2008-3651
-
crisitem.author.orcid
0000-0002-9493-3404
-
crisitem.author.orcid
0000-0001-6872-8821
-
crisitem.author.orcid
0000-0003-4427-5703
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
